Manager, Machine Learning - Remote Canada

at  PAR

TO DELIVER SOLUTIONS THAT CONNECT PEOPLE TO THE RESTAURANTS, MEALS AND MOMENTS THEY LOVE.

We take that responsibility very seriously. As a leading provider of technology to the top restaurant brands in the world we’re calling all rebels, instigators, idealists and builders to join our constantly growing team!
PAR invented the first standalone point of sale terminal over 40 years ago, yet we operate much like a start-up at the forefront of restaurant technology. Today, our solutions span Customer loyalty, engagement, restaurant management, payment services, drive-thru, and full POS integrations. These solutions are used to serve tens of millions of guests every day in over 120 countries.
Our mission is to build the number one restaurant technology company in the world and we’re off to great start.
We believe that our ambition is only limited by our ability to attract and retain great people; people who are up for the challenge to change the game with us! If it sounds like you belong here, we should meet!
PAR is looking for a Manager, Machine Learning that is responsible for leading a team to develop ML algorithms that power PAR and the Punchh platform.
As part of the team, the candidate will lead the full lifecycle of ML Model development to support, including researching algorithms, gathering requirements, developing specifications, running A/B tests in production, and getting it production ready. To be successful in this role, you will need a strong machine learning experience, software development skills, and collaboration with cross functional teams. You will need strong communication and leadership skills, as well as ability to multitask and prioritize.
**As we continue our flexible workplace arrangements, it is crucial for our employees to ensure they have a reliable internet and cellular connection in place. Strong and stable connectivity in our work locations allows for smooth communication, seamless collaboration, and uninterrupted productivity.

• Hands-on technical leadership (EDA, modeling, coding, etc.).
• Manage a team of ML Engineers at various levels of experience.
• Provide mentorship to other Data Team members.
• Partner with teams like Engineering, Product and Operations to develop quality ML products.
• Lead the development and deployment of AL / ML services and data pipelines.
• Build AI / ML POCs and present them to stakeholders.
• Enforce standards and best practices to improve team’s performance.
• Become thought-leader on ways to integrate LLMs and AI into the platform beyond classic ML methodologies.
• Communicate directly with customers to explain and promote our AI / ML technology.
• Oversee short-term projects of intern and student teams.